Model Intelligence Sheet
richarderkhov/flozi00_-_llama-2-13b-german-assistant-v5-gguf overview
This model is an finetuned version for german instructions and conversations in style of Alpaca. "### Assistant:" "### User:" The dataset used is deduplicated and cleaned, with no codes inside. The focus is on instruction following and conversational tasks. The model archictecture is based on Llama version 2 with 13B parameters, trained on 100% renewable energy powered hardware. This work is contributed by private research of flozi00 Join discussions about german llm research, and plan larger training runs together: https://join.slack.com/t/slack-dtc7771/shared_invite/zt-219keplqu-hLwjm0xcFAOX7enERfBz0Q
Downloads
376
Likes
0
Pipeline
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Library
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Visibility
Public
Access
Open
Repository Files & Downloads
19 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Llama-2-13b-german-assistant-v5.IQ4_NL.gguf | GGUF | IQ4_NL | 6.94 GB | Download |
| Llama-2-13b-german-assistant-v5.IQ4_XS.gguf | GGUF | IQ4_XS | 6.57 GB | Download |
| Llama-2-13b-german-assistant-v5.Q2_K.gguf | GGUF | Q2_K | 1.11 GB | Download |
| Llama-2-13b-german-assistant-v5.Q3_K.gguf | GGUF | Q3_K | 1.24 GB | Download |
| Llama-2-13b-german-assistant-v5.Q3_K_L.gguf | GGUF | Q3_K_L | 5.41 GB | Download |
| Llama-2-13b-german-assistant-v5.Q3_K_M.gguf | GGUF | Q3_K_M | 5.94 GB | Download |
| Llama-2-13b-german-assistant-v5.Q3_K_S.gguf | GGUF | Q3_K_S | 5.30 GB | Download |
| Llama-2-13b-german-assistant-v5.Q4_0.gguf | GGUF | — | 6.90 GB | Download |
| Llama-2-13b-german-assistant-v5.Q4_1.gguf | GGUF | — | 7.65 GB | Download |
| Llama-2-13b-german-assistant-v5.Q4_K.gguf | GGUF | Q4_K | 7.36 GB | Download |
| Llama-2-13b-german-assistant-v5.Q4_K_M.gguf | GGUF | Q4_K_M | 7.36 GB | Download |
| Llama-2-13b-german-assistant-v5.Q4_K_S.gguf | GGUF | Q4_K_S | 6.95 GB | Download |
| Llama-2-13b-german-assistant-v5.Q5_0.gguf | GGUF | — | 8.40 GB | Download |
| Llama-2-13b-german-assistant-v5.Q5_1.gguf | GGUF | — | 9.15 GB | Download |
| Llama-2-13b-german-assistant-v5.Q5_K.gguf | GGUF | Q5_K | 8.64 GB | Download |
| Llama-2-13b-german-assistant-v5.Q5_K_M.gguf | GGUF | Q5_K_M | 8.64 GB | Download |
| Llama-2-13b-german-assistant-v5.Q5_K_S.gguf | GGUF | Q5_K_S | 8.40 GB | Download |
| Llama-2-13b-german-assistant-v5.Q6_K.gguf | GGUF | Q6_K | 9.99 GB | Download |
| Llama-2-13b-german-assistant-v5.Q8_0.gguf | GGUF | — | 12.94 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "https://www.primeline-solutions.com/skin/frontend/default/theme566/images/primeline-solutions-logo.png",
"summary": "This model is an finetuned version for german instructions and conversations in style of Alpaca. \"### Assistant:\" \"### User:\" The dataset used is deduplicated and cleaned, with no codes inside. The focus is on instruction following and conversational tasks. The model archictecture is based on Llama version 2 with 13B parameters, trained on 100% renewable energy powered hardware. This work is contributed by private research of flozi00 Join discussions about german llm research, and plan larger training runs together: https://join.slack.com/t/slack-dtc7771/shared_invite/zt-219keplqu-hLwjm0xcFAOX7enERfBz0Q",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nLlama-2-13b-german-assistant-v5 - GGUF\n- Model creator: https://huggingface.co/flozi00/\n- Original model: https://huggingface.co/flozi00/Llama-2-13b-german-assistant-v5/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [Llama-2-13b-german-assistant-v5.Q2_K.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q2_K.gguf) | Q2_K | 1.11GB |\n| [Llama-2-13b-german-assistant-v5.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q3_K_S.gguf) | Q3_K_S | 5.3GB |\n| [Llama-2-13b-german-assistant-v5.Q3_K.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q3_K.gguf) | Q3_K | 1.24GB |\n| [Llama-2-13b-german-assistant-v5.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q3_K_M.gguf) | Q3_K_M | 5.94GB |\n| [Llama-2-13b-german-assistant-v5.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q3_K_L.gguf) | Q3_K_L | 5.41GB |\n| [Llama-2-13b-german-assistant-v5.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.IQ4_XS.gguf) | IQ4_XS | 6.57GB |\n| [Llama-2-13b-german-assistant-v5.Q4_0.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q4_0.gguf) | Q4_0 | 6.9GB |\n| [Llama-2-13b-german-assistant-v5.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.IQ4_NL.gguf) | IQ4_NL | 6.94GB |\n| [Llama-2-13b-german-assistant-v5.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q4_K_S.gguf) | Q4_K_S | 6.95GB |\n| [Llama-2-13b-german-assistant-v5.Q4_K.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q4_K.gguf) | Q4_K | 7.36GB |\n| [Llama-2-13b-german-assistant-v5.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q4_K_M.gguf) | Q4_K_M | 7.36GB |\n| [Llama-2-13b-german-assistant-v5.Q4_1.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q4_1.gguf) | Q4_1 | 7.65GB |\n| [Llama-2-13b-german-assistant-v5.Q5_0.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q5_0.gguf) | Q5_0 | 8.4GB |\n| [Llama-2-13b-german-assistant-v5.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q5_K_S.gguf) | Q5_K_S | 8.4GB |\n| [Llama-2-13b-german-assistant-v5.Q5_K.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q5_K.gguf) | Q5_K | 8.64GB |\n| [Llama-2-13b-german-assistant-v5.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q5_K_M.gguf) | Q5_K_M | 8.64GB |\n| [Llama-2-13b-german-assistant-v5.Q5_1.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q5_1.gguf) | Q5_1 | 9.15GB |\n| [Llama-2-13b-german-assistant-v5.Q6_K.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q6_K.gguf) | Q6_K | 9.99GB |\n| [Llama-2-13b-german-assistant-v5.Q8_0.gguf](https://huggingface.co/RichardErkhov/flozi00_-_Llama-2-13b-german-assistant-v5-gguf/blob/main/Llama-2-13b-german-assistant-v5.Q8_0.gguf) | Q8_0 | 12.94GB |\n\n\n\n\nOriginal model description:\n---\ndatasets:\n- flozi00/conversations\nlanguage:\n- en\n- de\n---\n\n## This project is sponsored by [  ](https://www.primeline-solutions.com/de/server/nach-einsatzzweck/gpu-rendering-hpc/)\n\n# Model Card\n\nThis model is an finetuned version for german instructions and conversations in style of Alpaca. \"### Assistant:\" \"### User:\"\nThe dataset used is deduplicated and cleaned, with no codes inside. The focus is on instruction following and conversational tasks.\n\nThe model archictecture is based on Llama version 2 with 13B parameters, trained on 100% renewable energy powered hardware.\n\nThis work is contributed by private research of [flozi00](https://huggingface.co/flozi00)\n\n\nJoin discussions about german llm research, and plan larger training runs together: https://join.slack.com/t/slack-dtc7771/shared_invite/zt-219keplqu-hLwjm0xcFAOX7enERfBz0Q\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"endpoints_compatible",
"region:us"
],
"likes": 0,
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"gated": false,
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"last_modified": "2024-10-31T04:15:20.000Z",
"created_at": "2024-10-31T00:47:04.000Z",
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Source payload excerpt (from Hugging Face API)
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